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学生对 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的评价和反馈

4.8
2,384 个评分

课程概述

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making. This course introduces you to the fundamentals of Reinforcement Learning. When you finish this course, you will: - Formalize problems as Markov Decision Processes - Understand basic exploration methods and the exploration/exploitation tradeoff - Understand value functions, as a general-purpose tool for optimal decision-making - Know how to implement dynamic programming as an efficient solution approach to an industrial control problem This course teaches you the key concepts of Reinforcement Learning, underlying classic and modern algorithms in RL. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP. This is the first course of the Reinforcement Learning Specialization....

热门审阅

AT

Jul 6, 2020

An excellent introduction to Reinforcement Learning, accompanied by a well-organized & informative handbook. I definitely recommend this course to have a strong foundation in Reinforcement Learning.

HT

Apr 7, 2020

This course is one of the best I've learned so far in coursera. The explanations are clear and concise enough. It took a while for me to understand Bellman equation but when I did, it felt amazing!

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351 - Fundamentals of Reinforcement Learning 的 375 个评论(共 569 个)

创建者 Mario A C S

Oct 16, 2020

Excellent course, great materials and explanations

创建者 Mark P

May 19, 2020

Excellent intro. Well paced, clear videos. Thanks!

创建者 Arman K

Dec 31, 2021

T​his course was so helpful to me. Thank you all.

创建者 Pratyush M

Jun 15, 2020

some more practical implementation can be better.

创建者 Maria D

May 23, 2020

Challenging but helpful, awesome practical tasks!

创建者 Deleted A

Sep 6, 2019

Builds a good foundation of basic concepts of RL.

创建者 Marco G

Jan 7, 2021

clearly explained, nice textbook, good exercises

创建者 Sriram R

Aug 24, 2019

Well organized course. Good pedagogy. Well done!

创建者 Dongyu L

May 20, 2021

Very good and clear introduction of the course.

创建者 Shamuwel A A

Nov 24, 2020

Fantastic beginning to a a very exciting topic.

创建者 Tuyên Đ

Aug 24, 2020

perfect for who want to getting started with RL

创建者 Debadri B

May 29, 2020

Very good course for understanding basics of RL

创建者 Xiyu Z

Aug 13, 2021

Great! I never learnt it so clearly in school.

创建者 Charles X

Jun 19, 2021

Very good one to get familiar with Q-learning.

创建者 Eduardo F d S

Jul 26, 2020

Good material and very well organized. Thanks!

创建者 Sandro A

Mar 23, 2020

Great introduction to Reinforcement Learning!!

创建者 Kyle W

Feb 16, 2020

I enjoy the programming assignments very much.

创建者 Alejandro D

Aug 11, 2019

Excellent! Great content and delivery quality.

创建者 Kyle A

Aug 15, 2019

great course!! thanks Adam, Martha and team!!

创建者 Alexis O

Apr 24, 2020

Quality course to learn the fundamentals...!

创建者 Raul D M

Nov 13, 2019

One of the best courses I've had on Coursera

创建者 Ram A

May 1, 2022

Especially loved the hands on assignments!

创建者 Carl

Dec 3, 2020

Solid course for laying foundations for RL

创建者 asphinjohn

Oct 13, 2020

Had a clear idea of Reinforcement learning

创建者 Holakou R

Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.